Modifying configurations within data governance platforms, such as DataGaps, involves adjusting settings that control various processes, data validations, or operational behaviors. An example would be altering the threshold for acceptable data quality scores or changing the frequency of data profiling jobs to adapt to evolving data landscapes.
The ability to modify these configurations is crucial for maintaining the effectiveness of data governance initiatives. Proper adjustments ensure that data quality rules remain relevant, that reporting accurately reflects the current state of the data, and that the system adapts to the changing needs of the organization. Historically, this type of system parameter adaptation required extensive manual coding, but modern data governance platforms offer user-friendly interfaces that streamline the modification process.